Talks and Poster Presentations (with Proceedings-Entry):
F. Rottensteiner, G. Summer, J. Trinder, S. Clode, K. Kubik:
"Evaluation of a Method for Fusing LIDAR Data and Multispectral Images for Building Detection";
Talk: Joint Workshop of ISPRS and DAGM, CMRT05,
- 2005-08-30; in: "Object Extraction for 3D City Models Road Databases, and Traffic Monitoring - Concepts, Algorithms, and Evaluation",
U. Stilla, F. Rottensteiner, S. Hinz (ed.);
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences,
Vol. XXXVI - part 3/W24
In this paper, we describe the evaluation of a method for building detection by the Dempster-Shafer fusion of LIDAR data and multispectral images. For that purpose, ground truth was digitised for two test sites with quite different characteristics. Using these data sets, the heuristic model for the probability mass assignments of the method is validated, and rules for the tuning of the parameters of this model are discussed. Further we evaluate the contributions of the individual cues used in the classification process to the quality of the classification results. Our results show the degree to which the overall correctness of the results can be improved by fusing LIDAR data with multispectral images.
Online library catalogue of the TU Vienna:
Electronic version of the publication:
Created from the Publication Database of the Vienna University of Technology.